An Automated calls retreival system
?Speaker identification refers to the process of recognizing human voice using artificial intelligence techniques. ?The proposed model will automate the entire process by recognizing the suspicious speaker and dig out all the audio conversations of target. ?To address problem, AI based
Project Title
An Automated calls retreival system
Project Area of Specialization
Project Summary
•Speaker identification refers to the process of recognizing human voice using artificial intelligence techniques.
•The proposed model will automate the entire process by recognizing the suspicious speaker and dig out all the audio conversations of target.
•To address problem, AI based solution is recommended .
•From literature review it has been known that high recognition rate is achieved when MFCC is used as features.
•Speaker identification refers to the process of recognizing human voice using artificial intelligence techniques.
•The proposed model will automate the entire process by recognizing the suspicious speaker and dig out all the audio conversations of target.
•To address problem, AI based solution is recommended .
•From literature review it has been known that high recognition rate is achieved when MFCC is used as features.
Project Objectives
The proposed model will work in two main phases:
The aim of this project is to identify the calls of known speaker(s) from the large database.
This will help the law enforcement agencies (LEAs) to dig out the calls of suspicious speakers.
Project Implementation Method
Speaker identification refers to the process of recognizing human voice using artificial intelligence techniques.
The proposed model will automate the entire process by recognizing the suspicious speaker and dig out all the audio conversations of target.
To address problem, AI based solution is recommended .
From literature review it has been known that high recognition rate is achieved when MFCC is used as features.
Benefits of the Project
This project will mainly benefit the Military or LEAs for security purposes. Moreover, this will not only assist the LEAs in their operation by retrieving the suspicious speakers calls from big database but also can be used in different commercial applications such as cellular operators etc.
The device will not only help our community in security but will produce some good research work in the form of publishable research articles.
The proposed model can easily be implemented in any international or national military organization or for commercial purposes, which will help in assisting international collaborations.
Technical Details of Final Deliverable
Dataset Collection
Feature Extraction
Model Training
Hardware Implementation Raspberry pie
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry pie | Equipment | 1 | 10000 | 10000 |
| power source | Equipment | 1 | 1000 | 1000 |
| Black box cover | Equipment | 1 | 1000 | 1000 |
| microphone | Equipment | 1 | 5000 | 5000 |
| Touch screen | Equipment | 1 | 5000 | 5000 |
| Misc. | Miscellaneous | 1 | 3000 | 3000 |
| Total in (Rs) | 25000 |
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